Provisioning and Recovery in Flexible Optical Networks using Ant Colony Optimization

Author(s):	de Lima, Leandro Alvarez ; Pavani, Gustavo Sousa ; Ahmed, T ; Festor, O ; Ghamri-Doudane, Y ; Kang, JM ; Schaeffer-Filho, AE ; Lahmadi, A ; Madeira, E Total Authors: 9
Document type:	Journal article
Source:	2021 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2021); v. N/A, p. 5-pg., 2021-01-01.
Abstract
Artificial intelligence techniques may play a significant role in the control of elastic optical networks by offering improved performance over traditional dynamic provisioning and recovery methods. In this work, we propose a fully distributed routing algorithm based on the Ant Colony Optimization (ACO) meta-heuristics associated with crankback re-routing extensions. Simulations have demonstrated that the proposed ACO-based algorithm outperforms the fixed-alternate approach. They also demonstrate that the proposed approach achieves similar levels of bandwidth blocking probability and restorability compared to an adaptive routing algorithm that relies on the OSPF-TE routing protocol, with much lower levels of control overhead, comparable levels of setup time, and without a significant increase in the restoration time. We also evaluate the trade-offs in using a trunk reservation policy for the proposed approach. (AU)

FAPESP's process:	15/24341-7 - New strategies to confront with the threat of capacity exhaustion
Grantee:	Helio Waldman
Support Opportunities:	Research Projects - Thematic Grants